无线多媒体传感器网络中的动态频谱分配技术研究

刘航; 孔祥维; 刘桂林

doi:10.3724/SP.J.1146.2009.01271

无线多媒体传感器网络中的动态频谱分配技术研究

doi: 10.3724/SP.J.1146.2009.01271

计量
- 文章访问数: 3307
- HTML全文浏览量: 99
- PDF下载量: 1101
- 被引次数: 0
出版历程
- 收稿日期: 2009-09-25
- 修回日期: 2010-03-15
- 刊出日期: 2010-09-19

Studies on Dynamic Spectrum Allocation in Wireless Multimedia Sensor Networks

摘要

摘要: 无线多媒体传感器网络(WMSNs)具有实时监控，收集和处理多媒体信息的功能，有广泛的应用前景。较之传统无线传感器网络，WMSNs无线传输多媒体信息需要更大带宽。然而，随着无线通信设备的广泛应用，有限的可用频谱资源日益匮乏。利用动态频谱分配技术，可以扩展WMSNs的通信频段，增强抗干扰能力。考虑到WMSNs节点的物理限制，如计算能力和能量供应，该文提出了适合WMSNs的频谱感知方法和频谱管理方法。频谱感知采用各节点的轮换机制感知整个频段；频谱管理可以确保对授权用户影响最小的信道被首先使用。WMSNs使用上述方法可以感知周围无线电环境，利用空闲私有频段进行无线通信。最后，通过实验证明了该文提出的动态频谱分配技术对WMSNs的有效性。
- 无线传感器网络 /
- 无线多媒体传感器 /
- 频谱感知 /
- 动态频率分配 /
- 认知无线电
Abstract: Wireless Multimedia Sensor Networks (WMSNs) can real-time monitor, collect and process multimedia information. They have wide applications. Compared to other traditional sensor networks, WMSNs need more bandwidth to transmit multimedia information. However, the limited radio frequency spectrum appears more and more precious as the wireless communication devices are gaining momentum. Dynamic spectrum allocation can extend the spectrum used by wireless multimedia sensor networks and eliminate the interferences. In this paper, a novel method for spectrum sensing and management is proposed. So that WMSNs which are limited by energy and computation ability can sense spectrum environment via periodical rotation and communicate by available spare spectrum. Finally, the validity of proposed methods are proved by the experiment.
- Wireless Sensor Networks (WSNs) /
- Wireless multimedia sensor /
- Spectrum sensing /
- Dynamic frequency allocation /
- Cognitive Radio (CR)

HTML全文

参考文献(1)

Akyildiz I F, Melodia T, and Chowdhury K R. A survey on wireless multimedia sensor networks[J].Computer Networks.2007, 51(4):921-960[2]Musǎloiu-E R and Terzis A. Minimizing the effect of WiFi interference in 802.15.4 wireless sensor networks. International Journal of Sensor Networks, 2008, 3(1): 43-54.[3]Mitola J III. Cognitive radio: An integrated agent architecture for software defined radio[D]. [Ph.D. dissertation], KTH Royal Institute of Technology Stockholm, Sweden, 2000.[4]郑国强，李建东，周志立. 无线传感器网络MAC协议研究进展[J].自动化学报.2008, 34(3):305-316Zheng Guo-qiang, Li Jian-dong, and Zhou Zhi-li. Overview of MAC protocols in wireless sensor networks[J].Acta Automatica Sinica.2008, 34(3):305-316[5]李瑞芳，李仁发，罗鹃. 无线多媒体传感器网络MAC协议研究综述. 通信学报，2008, 29(8): 111-125.Li Rui-fang, Li Ren-fa, and Luo Juan. Survey of MAC protocol in wireless multimedia sensor networks. Journal on Communications, 2008, 29(8): 111-125.[6]Ye W, Heidemann J, and Estrin D. Medium access control with coordinated, adaptive sleeping for wireless sensor networks[J].IEEE Transactions on Network.2004, 12(3):493-506[7]Arisha K, Youssef M, and Younis M. Energy-aware TDMA-based MAC for sensor networks. Proc. of the IEEE Workshop on Integrated Management of Power Aware Communications, Computing and Networking (IMPACCT), New York City: USA, 2002.[8]Srikanth V and Babu I R. Cluster head selection for wireless sensor networks: A survey. The Icfai University Journal of Information Technology, 2009, 5(1): 44-53.[9]Iwanicki K and Steen M V. Multi-hop cluster hierarchy maintenance in wireless sensor networks: A case for gossip-based protocols [C]. Proc. of the Sixth European Conference on?Wireless Sensor Networks, Cork, Ireland, Feb. 2009: 102-117.[10]Sin H, Lee S, and Lee J, et al.. Self-organized cluster based multi-hop routing for wireless sensor networks [C]. Proc. of the 11th Asia-Pacific Symposium on Network Operations and Management: Challenges For Next Generation Network Operations and Service Management, Beijing, China, Oct. 2008: 449-502.[11]Proakis J G. Digital Communications. 3rd edition, New York: McGraw-Hill, 1995: 698-728.[12]Gardner W A. Signal interception: A unifying theoretical framework for feature detection[J].IEEE Transactions on Communications.1988, 36(8):897-906[13]Crossbow, Imote2 hardware reference manual, revision A, 2007.

施引文献

资源附件(0)

访问统计